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Pattern Discovery in an EEG Database of Depression Patients: Preliminary Results

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    0573674 - ÚI 2024 RIV SK eng C - Conference Paper (international conference)
    Hlaváčková-Schindler, Kateřina - Pacher, C. - Plant, C. - Lazarenko, M. - Paluš, Milan - Hlinka, Jaroslav - Kathpalia, Aditi - Brunovský, M.
    Pattern Discovery in an EEG Database of Depression Patients: Preliminary Results.
    2023 14th International Conference on Measurement. Proceedings. Bratislava: Institute of Measurement Science, SAS / IEEE, 2023 - (Dvurečenskij, A.; Maňka, J.; Švehlíková, J.; Witkovský, V.), s. 80-83. ISBN 979-8-3503-1218-8.
    [MEASUREMENT 2023: International Conference on Measurement /14./. Smolenice (SK), 29.05.2023-31.05.2023]
    R&D Projects: GA ČR(CZ) GF21-14727K
    Institutional support: RVO:67985807
    Keywords : Major Depressive Disorder * Interactive Clustering * Granger Causality * Classification Methods
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    https://dx.doi.org/10.23919/MEASUREMENT59122.2023.10164584

    The ability to predict response to medication treatment of depressed patients, either early in the course of therapy or before treatment even begins can avoid trials of ineffective therapy and save patients from prolonged intervals of suffering. Symptom alleviation requires 4-6 weeks after starting current antidepressive medication. Based on the data basis of the patients and their EEG before and on the 7th day of treatment we apply data mining, causal discovery and machine learning approaches to discover interactive patterns between patient’s brain regions to separate the treatment responders from non-responders. In this paper we report the preliminary results of our international project 'Learning Synchronization Patterns in Multivariate Neural Signals for Prediction of Response to Antidepressants' ongoing at the University of Vienna, the Czech Academy of Sciences and the National Institute of Mental Health in the Czech Republic.
    Permanent Link: https://hdl.handle.net/11104/0344055

     
     
Number of the records: 1  

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